The objectives of Project 1 (Classification and Integration) are to (a) continue research evaluating classification and measurement issues that affect the identification of children as learning disabled (LD), with a focus on response to instruction (RTI) models;and (b) expand use of meta-analytic methods to integrate research across domains of LD, including reading comprehension and executive functions.
Specific Aim 1 (Classification and Identification) addresses the nature and reliability of different methods for identifying children with LD based on simulated data and actual data from Projects 2-4. Simulations include (a) estimation of expected agreement when classification is made with multiple unreliable variables and various cut points;(b) identification of inadequate responders using different methods and cut points as well as other subgroups, such as so-called gifted LD or twice exceptional children;and (c) estimation of efficiency and utility in relation to different base rates and number of assessments. Similar comparisons will be made using actual data on intervention response from Project 3 (Intervention).
Specific Aim 2 (External Validity of RTI Models) addresses the validity of the intervention response criteria evaluated under Aim 1. Using data collected under Projects 2 and 4, we will compare adequate and inadequate responders from Project 3 (Intervention) on cognitive assessments of executive functions and other domains. We will work with Project 4 (Neuroimaging) to compare adequate and inadequate responders on structural and functional neuroimaging measures. In addition, intervention response criteria will be compared to criteria generated by other proposed classifications, including IQ-discrepancy, low achievement, and cognitive strengths and weaknesses models.
Specific Aim 3 (Integration) continues and expands our work on empirical synthesis from the previous five years. We propose to continue meta-analytic work addressing (a) predictors of intervention response;(b) executive functions in relation to different academic domains, especially reading comprehension and written expression;and (c) expand previous meta-analyses of intervention outcomes.
Identifying individual children who meet criteria for LD has plagued research and practice. This proposal leverages advances in statistical computing and analytic models, simulation, and meta-analysis to continue and extend a long history of research on the classification and definition of LD, evaluating the reliability of different approaches to identification, the validity of classifications based on intervention response, and integration of research on classification, executive functions and intervention.
|Wanzek, Jeanne; Stevens, Elizabeth A; Williams, Kelly J et al. (2018) Current Evidence on the Effects of Intensive Early Reading Interventions. J Learn Disabil 51:612-624|
|Roe, Mary Abbe; Martinez, Joel E; Mumford, Jeanette A et al. (2018) Control Engagement During Sentence and Inhibition fMRI Tasks in Children With Reading Difficulties. Cereb Cortex 28:3697-3710|
|Quinn, Jamie M (2018) Differential Identification of Females and Males with Reading Difficulties: A Meta-Analysis. Read Writ 31:1039-1061|
|Vaughn, Sharon; Roberts, Garrett J; Miciak, Jeremy et al. (2018) Efficacy of a Word- and Text-Based Intervention for Students With Significant Reading Difficulties. J Learn Disabil :22219418775113|
|Hernandez, Arturo E; Claussenius-Kalman, Hannah L; Ronderos, Juliana et al. (2018) Symbiosis, Parasitism and Bilingual Cognitive Control: A Neuroemergentist Perspective. Front Psychol 9:2171|
|Cirino, Paul T; Ahmed, Yusra; Miciak, Jeremy et al. (2018) A framework for executive function in the late elementary years. Neuropsychology 32:176-189|
|Williams, Victoria J; Juranek, Jenifer; Cirino, Paul et al. (2018) Cortical Thickness and Local Gyrification in Children with Developmental Dyslexia. Cereb Cortex 28:963-973|
|Cho, Eunsoo; Capin, Philip; Roberts, Greg et al. (2018) Examining Predictive Validity of Oral Reading Fluency Slope in Upper Elementary Grades Using Quantile Regression. J Learn Disabil 51:565-577|
|Quinn, Jamie M; Wagner, Richard K (2018) Using Meta-analytic Structural Equation Modeling to Study Developmental Change in Relations Between Language and Literacy. Child Dev 89:1956-1969|
|Nikki Arrington, C; Kulesz, Paulina A; Juranek, Jenifer et al. (2017) White matter microstructure integrity in relation to reading proficiency?. Brain Lang 174:103-111|
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